python_code stringlengths 0 992k | repo_name stringlengths 8 46 | file_path stringlengths 5 162 |
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#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
setup(
name="dyn... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/modules/dynamicconv_layer/setup.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import BaseWrapperDataset
class OffsetTokensDataset(BaseWrapperDataset):
def __init__(self, dataset, offset):
super().__i... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/offset_tokens_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections import OrderedDict
import torch
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
def ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/nested_dictionary_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from collections import OrderedDict
from typing import Dict, List
import numpy as np
from fairseq.data import data_utils
from... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multi_corpus_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import bisect
import numpy as np
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class ConcatDataset(... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/concat_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import BaseWrapperDataset
class ReplaceDataset(BaseWrapperDataset):
"""Replaces tokens found in the dataset by a specified replac... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/replace_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq import utils
from . import FairseqDataset
def backtranslate_samples(samples, collate_fn, generate_fn, cuda=True):... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/backtranslation_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class IdDataset(FairseqDataset):
def __getitem__(self, index):
return index
def ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/id_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class PrependDataset(BaseWrapperDataset):
def __init__(self, dataset, ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/prepend_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections import OrderedDict
from typing import Callable, Dict, List
import numpy as np
from . import FairseqDataset
def uniform_sa... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multi_corpus_sampled_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import FairseqDataset
class NumSamplesDataset(FairseqDataset):
def __getitem__(self, index):
return 1
def __len__(se... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/num_samples_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from fairseq.data import data_utils
class WordNoising(object):
"""Generate a noisy version of a sentence... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/noising.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
from fairseq.data import data_utils
from . import BaseWrapperDataset
class TruncateDataset(BaseWrapperDataset):
"""T... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/shorten_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
from . import BaseWrapperDataset
logger = logging.getLogger(__name__)
class SubsampleDataset(BaseWrapp... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/subsample_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
from . import BaseWrapperDataset
class SortDataset(BaseWrapperDataset):
def __init__(self, dataset, sort_order):
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/sort_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(samples, pad_idx, eos_idx):
if len(samples) == 0:
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/monolingual_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import subprocess
import threading
from pathlib import Path
import numpy as np
import torch
def fasta_file_path(prefix_path):
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/fasta_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class BaseWrapperDataset(FairseqDataset):
def __in... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/base_wrapper_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class NumelDataset(BaseWrapperDataset):
def __init__(self, dataset, re... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/numel_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""isort:skip_file"""
from .dictionary import Dictionary, TruncatedDictionary
from .fairseq_dataset import FairseqDataset, FairseqIterableDat... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class ConcatSentencesDataset(FairseqDataset):
def __init__(self, *datasets):
super().... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/concat_sentences_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from functools import lru_cache
import numpy as np
import torch
from fairseq.data import Dictionary, data_utils
from . import BaseWrapperDat... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/mask_tokens_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from functools import lru_cache
from . import BaseWrapperDataset
class LRUCacheDataset(BaseWrapperDataset):
def __init__(self, dataset,... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/lru_cache_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(
samples,
pad_idx,
eos_idx,
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/denoising_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import BaseWrapperDataset
class StripTokenDataset(BaseWrapperDataset):
def __init__(self, dataset, id_to_strip):
super().... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/strip_token_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
try:
from collections.abc import Iterable
except ImportError:
from collections import Iterable
import contextlib
import itertools
impo... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/data_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class PrependTokenDataset(BaseWrapperDataset):
def __init__(self, data... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/prepend_token_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class TransformEosDataset(FairseqDataset):
"""A :class:`~fairseq.data.FairseqDataset` wrapper... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/transform_eos_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import BaseWrapperDataset
class ColorizeDataset(BaseWrapperDataset):
""" Adds 'colors' property to net input that i... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/colorize_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import FairseqDataset
class RawLabelDataset(FairseqDataset):
def __init__(self, labels):
super().__init__()... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/raw_label_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from . import BaseWrapperDataset
class ListDataset(BaseWrapperDataset):
def __init__(self, dataset, sizes=None):
super().__init_... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/list_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from collections import OrderedDict
from typing import Dict, Sequence
import numpy as np
from . import FairseqDataset, Langua... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/round_robin_zip_datasets.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import logging
import math
import operator
import os
import queue
import time
from threading import Thread
import numpy as n... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/iterators.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import subprocess
import tempfile
class PlasmaArray(object):
"""
Wrapper around numpy arrays that automatically moves the data to sh... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/plasma_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
from fairseq.data import BaseWrapperDataset, plasma_utils
logger = logging.getLogger(__name__)
class Re... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/resampling_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = logging.getLogger(__name__)
d... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/language_pair_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from . import BaseWrapperDataset
class AppendTokenDataset(BaseWrapperDataset):
def __init__(self, datas... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/append_token_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.data import data_utils
from . import BaseWrapperDataset
class PadDataset(BaseWrapperDataset):
def __init__(self, dataset, ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/pad_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import shutil
import struct
from functools import lru_cache
import numpy as np
import torch
from fairseq.dataclass.constants import DATASET_I... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/indexed_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import BaseWrapperDataset
class RollDataset(BaseWrapperDataset):
def __init__(self, dataset, shifts):
super... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/roll_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from collections import Counter
from multiprocessing import Pool
import torch
from fairseq import utils
from fairseq.binarizer impo... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/dictionary.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch.utils.data
from fairseq.data import data_utils
logger = logging.getLogger(__name__)
class Ep... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/fairseq_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from typing import Dict
from fairseq.data.monolingual_dataset import MonolingualDataset
from . import Fairse... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/lm_context_window_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch.nn.functional as F
from fairseq.data import BaseWrapperDataset
class BucketPadLengthDataset(BaseWrapperDatas... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/bucket_pad_length_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from fairseq.data import FairseqDataset, plasma_utils
from fairseq.data.indexed_dataset import best_fitting_in... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/token_block_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
import torch
from . import FairseqDataset
class TransformEosLangPairDataset(FairseqDataset):
"""A :class:... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/transform_eos_lang_pair_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from . import BaseWrapperDataset, data_utils
class AddTargetDataset(BaseWrapperDataset):
def __init__(
self,
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/add_target_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.data import Dictionary
class MaskedLMDictionary(Dictionary):
"""
Dictionary for Masked Language Modelling tasks. This e... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/legacy/masked_lm_dictionary.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import numpy as np
import torch
from fairseq.data import FairseqDataset
class BlockPairDataset(FairseqDataset):
"""Break a ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/legacy/block_pair_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from .block_pair_dataset import BlockPairDataset
from .masked_lm_dataset import MaskedLMDataset
from .masked_lm_dictionary import BertDictiona... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/legacy/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Dict, List, Tuple
import numpy as np
import torch
from fairseq.data import Dictionary, FairseqDataset, data_ut... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/legacy/masked_lm_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import hashlib
import logging
import math
import numpy as np
from fairseq.data import SampledMultiDataset
from .sampled_multi_dataset import... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multilingual/sampled_multi_epoch_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multilingual/__init__.py |
from enum import Enum
from typing import Dict, List, Optional, Sequence
import torch
from fairseq.data import Dictionary
class EncoderLangtok(Enum):
"""
Prepend to the beginning of source sentence either the
source or target language token. (src/tgt).
"""
src = "src"
tgt = "tgt"
class Lang... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multilingual/multilingual_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from typing import List
logger = logging.getLogger(__name__)
def uniform(dataset_sizes: List[int]):
return [1.0] * len(... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multilingual/sampling_method.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import datetime
import hashlib
import logging
import time
from bisect import bisect_right
from collections import OrderedDict, defaultdict
fro... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multilingual/sampled_multi_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import json
import logging
import math
import os
from collections import OrderedDict, defaultdict
from fairseq import utils
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/multilingual/multilingual_data_manager.py |
EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import csv
import io
import logging
import os.path as op
import re
from typing import Dict, List, Optional, Tuple
import numpy as np
import t... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/speech_to_text_dataset.py |
import os.path as op
from typing import BinaryIO, Optional, Tuple, Union
import numpy as np
def get_waveform(
path_or_fp: Union[str, BinaryIO], normalization=True
) -> Tuple[np.ndarray, int]:
"""Get the waveform and sample rate of a 16-bit mono-channel WAV or FLAC.
Args:
path_or_fp (str or Binar... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/audio_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
import numpy as np
import torch
import torch.nn.functional as F
from .. import FairseqDataset
logger ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/raw_audio_dataset.py |
import numpy as np
from fairseq.data.audio.feature_transforms import (
AudioFeatureTransform,
register_audio_feature_transform,
)
@register_audio_feature_transform("global_cmvn")
class GlobalCMVN(AudioFeatureTransform):
"""Global CMVN (cepstral mean and variance normalization). The global mean
and var... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/feature_transforms/global_cmvn.py |
import importlib
import os
from abc import ABC, abstractmethod
from typing import Dict, Optional
class AudioFeatureTransform(ABC):
@classmethod
@abstractmethod
def from_config_dict(cls, config: Optional[Dict] = None):
pass
AUDIO_FEATURE_TRANSFORM_REGISTRY = {}
AUDIO_FEATURE_TRANSFORM_CLASS_NAMES... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/feature_transforms/__init__.py |
import math
import numbers
from typing import Optional
import numpy as np
from fairseq.data.audio.feature_transforms import (
AudioFeatureTransform,
register_audio_feature_transform,
)
@register_audio_feature_transform("specaugment")
class SpecAugmentTransform(AudioFeatureTransform):
"""SpecAugment (http... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/feature_transforms/specaugment.py |
import numpy as np
from fairseq.data.audio.feature_transforms import (
AudioFeatureTransform,
register_audio_feature_transform,
)
@register_audio_feature_transform("utterance_cmvn")
class UtteranceCMVN(AudioFeatureTransform):
"""Utterance-level CMVN (cepstral mean and variance normalization)"""
@clas... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/audio/feature_transforms/utterance_cmvn.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq import file_utils
from fairseq.data.encoders import register_bpe
from fairseq.dataclass... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/sentencepiece_bpe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq import file_utils
from fairseq.data.encoders import register_bpe
from fairseq.dataclass... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/fastbpe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.data.encoders import register_tokenizer
from fairseq.dataclass import FairseqDataclass
@register_tokenizer("nltk", dataclass=Fa... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/nltk_tokenizer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq import file_utils
from fairseq.data.encoders import register_bpe
from fairseq.dataclass... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/gpt2_bpe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq import file_utils
from fairseq.data.encoders import register_bpe
from fairseq.dataclass... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/subword_nmt_bpe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq.data.encoders import register_bpe
from fairseq.dataclass import FairseqDataclass
from f... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/hf_byte_bpe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import importlib
import os
from fairseq import registry
build_tokenizer, register_tokenizer, TOKENIZER_REGISTRY, _ = registry.setup_regist... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from typing import Optional
from fairseq.data.encoders import register_bpe
from fairseq.dataclass im... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/hf_bert_bpe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq import file_utils
from fairseq.data.encoders import register_bpe
from fairseq.data.enc... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/byte_bpe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from fairseq.data import encoders
def get_whole_word_mask(args, dictionary):
bpe = encoders.build_bpe(args)
if bpe is n... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import re
from fairseq.data.encoders import register_tokenizer
from fairseq.dataclass import FairseqDataclass
@register_tokenizer("space", ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/space_tokenizer.py |
"""
Byte pair encoding utilities from GPT-2.
Original source: https://github.com/openai/gpt-2/blob/master/src/encoder.py
Original license: MIT
"""
import json
from functools import lru_cache
@lru_cache()
def bytes_to_unicode():
"""
Returns list of utf-8 byte and a corresponding list of unicode strings.
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/gpt2_bpe_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
from fairseq.data.encoders import register_tokenizer
from fairseq.dataclass import FairseqDataclass
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/moses_tokenizer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.data.encoders import register_bpe
SPACE = chr(32)
SPACE_ESCAPE = chr(9601)
@register_bpe("characters")
class Characters(obje... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/characters.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq.data.encoders import register_bpe
from fairseq.data.encoders.byte_utils import (
SPACE,
SPACE_ESCAPE,
byte_encode,
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/bytes.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import re
WHITESPACE_NORMALIZER = re.compile(r"\s+")
SPACE = chr(32)
SPACE_ESCAPE = chr(9601)
# excluding non-breaking space (160) here
PRIN... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/data/encoders/byte_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
A standalone module for aggregating metrics.
Metrics can be logged from anywhere using the `log_*` functions defined
in this module. The l... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/logging/metrics.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import bisect
import time
from collections import OrderedDict
from typing import Dict, Optional
try:
import torch
def type_as(a, b)... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/logging/meters.py |
EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/logging/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Wrapper around various loggers and progress bars (e.g., tqdm).
"""
import atexit
import json
import logging
import os
import sys
from col... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/logging/progress_bar.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import inspect
from typing import Any, Dict, List
from fairseq import metrics, utils
from fairseq.dataclass import FairseqDataclass
from fair... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/fairseq_criterion.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/cross_entropy.py |
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
from argparse import Namespace
from dataclasses import dataclass, f... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/ctc.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/adaptive_loss.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from dataclasses import dataclass, field
from typing import Dict, List
from fairseq import metrics, utils
from fairseq.criteri... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/model_criterion.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass, field
from typing import List, Optional
import torch
import torch.nn.functional as F
from fair... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/wav2vec_criterion.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/legacy_masked_lm.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/nat_loss.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""isort:skip_file"""
import importlib
import os
from fairseq import registry
from fairseq.criterions.fairseq_criterion import ( # noqa
... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass, field
import torch
from fairseq import metrics, utils
from fairseq.criterions import FairseqCr... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/label_smoothed_cross_entropy.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from fairseq import utils
from fairseq.criterions import LegacyFairseqCriterion, register_criterion
from torch import nn
@register_criterion... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/composite_loss.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/sentence_prediction.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from fairseq import metrics, utils
from fairseq.criterions import register_criterion
from .label_smoothed_cross_entropy import L... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/label_smoothed_cross_entropy_with_alignment.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import metrics, modules, utils
from fairseq.criterions import FairseqCr... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/masked_lm.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... | EXA-1-master | exa/models/unilm-master/decoding/GAD/fairseq/criterions/sentence_ranking.py |
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